Overview

Dataset statistics

Number of variables31
Number of observations255695
Missing cells560421
Missing cells (%)7.1%
Duplicate rows14971
Duplicate rows (%)5.9%
Total size in memory73.6 MiB
Average record size in memory301.7 B

Variable types

Categorical3
Numeric28

Warnings

Dataset has 14971 (5.9%) duplicate rowsDuplicates
mintemp is highly correlated with maxtemp and 3 other fieldsHigh correlation
maxtemp is highly correlated with mintemp and 4 other fieldsHigh correlation
evaporation is highly correlated with maxtemp and 2 other fieldsHigh correlation
sunshine is highly correlated with humidity3pm and 5 other fieldsHigh correlation
humidity9am is highly correlated with humidity3pm and 1 other fieldsHigh correlation
humidity3pm is highly correlated with sunshine and 7 other fieldsHigh correlation
pressure9am is highly correlated with pressure3pmHigh correlation
pressure3pm is highly correlated with pressure9amHigh correlation
cloud9am is highly correlated with sunshine and 3 other fieldsHigh correlation
cloud3pm is highly correlated with sunshine and 4 other fieldsHigh correlation
temp9am is highly correlated with mintemp and 4 other fieldsHigh correlation
temp3pm is highly correlated with mintemp and 5 other fieldsHigh correlation
raintoday is highly correlated with modelo_vigenteHigh correlation
raintomorrow is highly correlated with sunshine and 2 other fieldsHigh correlation
temp is highly correlated with mintemp and 3 other fieldsHigh correlation
humidity is highly correlated with sunshine and 4 other fieldsHigh correlation
modelo_vigente is highly correlated with sunshine and 6 other fieldsHigh correlation
wind_gustdir is highly correlated with wind_dir3pmHigh correlation
wind_gustspeed is highly correlated with wind_speed9am and 1 other fieldsHigh correlation
wind_dir3pm is highly correlated with wind_gustdirHigh correlation
wind_speed9am is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
wind_speed3pm is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
mintemp is highly correlated with maxtemp and 4 other fieldsHigh correlation
maxtemp is highly correlated with mintemp and 4 other fieldsHigh correlation
rainfall is highly correlated with raintoday and 1 other fieldsHigh correlation
evaporation is highly correlated with mintemp and 5 other fieldsHigh correlation
sunshine is highly correlated with humidity9am and 7 other fieldsHigh correlation
humidity9am is highly correlated with evaporation and 4 other fieldsHigh correlation
humidity3pm is highly correlated with sunshine and 8 other fieldsHigh correlation
pressure9am is highly correlated with pressure3pmHigh correlation
pressure3pm is highly correlated with pressure9amHigh correlation
cloud9am is highly correlated with sunshine and 5 other fieldsHigh correlation
cloud3pm is highly correlated with sunshine and 4 other fieldsHigh correlation
temp9am is highly correlated with mintemp and 4 other fieldsHigh correlation
temp3pm is highly correlated with mintemp and 5 other fieldsHigh correlation
raintoday is highly correlated with rainfallHigh correlation
amntraintmrw is highly correlated with sunshine and 4 other fieldsHigh correlation
raintomorrow is highly correlated with sunshine and 3 other fieldsHigh correlation
temp is highly correlated with mintemp and 4 other fieldsHigh correlation
humidity is highly correlated with sunshine and 6 other fieldsHigh correlation
modelo_vigente is highly correlated with rainfall and 7 other fieldsHigh correlation
wind_gustdir is highly correlated with wind_dir3pmHigh correlation
wind_gustspeed is highly correlated with wind_speed9am and 1 other fieldsHigh correlation
wind_dir3pm is highly correlated with wind_gustdirHigh correlation
wind_speed9am is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
wind_speed3pm is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
mintemp is highly correlated with maxtemp and 2 other fieldsHigh correlation
maxtemp is highly correlated with mintemp and 3 other fieldsHigh correlation
rainfall is highly correlated with raintodayHigh correlation
sunshine is highly correlated with cloud9am and 2 other fieldsHigh correlation
humidity3pm is highly correlated with humidity and 1 other fieldsHigh correlation
pressure9am is highly correlated with pressure3pmHigh correlation
pressure3pm is highly correlated with pressure9amHigh correlation
cloud9am is highly correlated with sunshineHigh correlation
cloud3pm is highly correlated with sunshine and 1 other fieldsHigh correlation
temp9am is highly correlated with mintemp and 3 other fieldsHigh correlation
temp3pm is highly correlated with mintemp and 3 other fieldsHigh correlation
raintoday is highly correlated with rainfallHigh correlation
amntraintmrw is highly correlated with raintomorrow and 1 other fieldsHigh correlation
raintomorrow is highly correlated with amntraintmrw and 1 other fieldsHigh correlation
temp is highly correlated with maxtemp and 2 other fieldsHigh correlation
humidity is highly correlated with humidity3pm and 1 other fieldsHigh correlation
modelo_vigente is highly correlated with sunshine and 5 other fieldsHigh correlation
wind_gustspeed is highly correlated with wind_speed3pmHigh correlation
wind_speed3pm is highly correlated with wind_gustspeedHigh correlation
raintomorrow is highly correlated with humidity and 6 other fieldsHigh correlation
location is highly correlated with humidity and 10 other fieldsHigh correlation
humidity is highly correlated with raintomorrow and 11 other fieldsHigh correlation
pressure3pm is highly correlated with pressure9amHigh correlation
wind_gustspeed is highly correlated with wind_speed9am and 1 other fieldsHigh correlation
humidity3pm is highly correlated with raintomorrow and 11 other fieldsHigh correlation
temp9am is highly correlated with location and 6 other fieldsHigh correlation
wind_speed9am is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
raintoday is highly correlated with raintomorrow and 4 other fieldsHigh correlation
humidity9am is highly correlated with location and 9 other fieldsHigh correlation
temp is highly correlated with location and 8 other fieldsHigh correlation
wind_dir9am is highly correlated with location and 2 other fieldsHigh correlation
cloud9am is highly correlated with raintomorrow and 6 other fieldsHigh correlation
wind_dir3pm is highly correlated with location and 2 other fieldsHigh correlation
temp3pm is highly correlated with location and 8 other fieldsHigh correlation
modelo_vigente is highly correlated with raintomorrow and 6 other fieldsHigh correlation
month is highly correlated with temp9am and 4 other fieldsHigh correlation
mintemp is highly correlated with location and 5 other fieldsHigh correlation
cloud3pm is highly correlated with raintomorrow and 5 other fieldsHigh correlation
wind_gustdir is highly correlated with location and 2 other fieldsHigh correlation
pressure9am is highly correlated with pressure3pmHigh correlation
sunshine is highly correlated with raintomorrow and 6 other fieldsHigh correlation
wind_speed3pm is highly correlated with wind_gustspeed and 1 other fieldsHigh correlation
maxtemp is highly correlated with location and 8 other fieldsHigh correlation
rainfall has 3579 (1.4%) missing values Missing
evaporation has 116865 (45.7%) missing values Missing
sunshine has 130048 (50.9%) missing values Missing
humidity9am has 3592 (1.4%) missing values Missing
humidity3pm has 8458 (3.3%) missing values Missing
pressure9am has 25366 (9.9%) missing values Missing
pressure3pm has 25395 (9.9%) missing values Missing
cloud9am has 95746 (37.4%) missing values Missing
cloud3pm has 102460 (40.1%) missing values Missing
temp3pm has 6763 (2.6%) missing values Missing
raintoday has 3579 (1.4%) missing values Missing
humidity has 8458 (3.3%) missing values Missing
wind_gustspeed has 17455 (6.8%) missing values Missing
wind_speed3pm has 5965 (2.3%) missing values Missing
rainfall has 137928 (53.9%) zeros Zeros
sunshine has 7081 (2.8%) zeros Zeros
cloud9am has 10063 (3.9%) zeros Zeros
cloud3pm has 5393 (2.1%) zeros Zeros
amntraintmrw has 115586 (45.2%) zeros Zeros
wind_gustdir has 14252 (5.6%) zeros Zeros
wind_dir9am has 14215 (5.6%) zeros Zeros
wind_dir3pm has 13450 (5.3%) zeros Zeros
wind_speed9am has 14255 (5.6%) zeros Zeros

Reproduction

Analysis started2021-05-12 18:40:46.182254
Analysis finished2021-05-12 18:44:08.310253
Duration3 minutes and 22.13 seconds
Software versionpandas-profiling v3.0.0
Download configurationconfig.json

Variables

location
Categorical

HIGH CORRELATION

Distinct49
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size18.0 MiB
Portland
 
6580
Sydney
 
6253
Dartmoor
 
6134
MountGambier
 
6101
Cairns
 
6067
Other values (44)
224560 

Length

Max length16
Median length8
Mean length8.733960382
Min length4

Characters and Unicode

Total characters2233230
Distinct characters40
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowAlbury
2nd rowAlbury
3rd rowAlbury
4th rowAlbury
5th rowAlbury

Common Values

ValueCountFrequency (%)
Portland6580
 
2.6%
Sydney6253
 
2.4%
Dartmoor6134
 
2.4%
MountGambier6101
 
2.4%
Cairns6067
 
2.4%
Albany6057
 
2.4%
Darwin6030
 
2.4%
Witchcliffe5963
 
2.3%
Walpole5939
 
2.3%
NorfolkIsland5922
 
2.3%
Other values (39)194649
76.1%

Length

2021-05-12T15:44:08.572188image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
portland6580
 
2.6%
sydney6253
 
2.4%
dartmoor6134
 
2.4%
mountgambier6101
 
2.4%
cairns6067
 
2.4%
albany6057
 
2.4%
darwin6030
 
2.4%
witchcliffe5963
 
2.3%
walpole5939
 
2.3%
norfolkisland5922
 
2.3%
Other values (39)194649
76.1%

Most occurring characters

ValueCountFrequency (%)
a210145
 
9.4%
r204344
 
9.2%
o193818
 
8.7%
e177884
 
8.0%
n161853
 
7.2%
l139960
 
6.3%
i133682
 
6.0%
t108951
 
4.9%
d66170
 
3.0%
s64574
 
2.9%
Other values (30)771849
34.6%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter1888731
84.6%
Uppercase Letter344499
 
15.4%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
a210145
11.1%
r204344
10.8%
o193818
10.3%
e177884
9.4%
n161853
 
8.6%
l139960
 
7.4%
i133682
 
7.1%
t108951
 
5.8%
d66170
 
3.5%
s64574
 
3.4%
Other values (12)427350
22.6%
Uppercase Letter
ValueCountFrequency (%)
A46643
13.5%
W41735
12.1%
C32786
9.5%
M30686
8.9%
P26910
7.8%
S26269
7.6%
N25111
7.3%
G22123
6.4%
B21556
6.3%
H17413
 
5.1%
Other values (8)53267
15.5%

Most occurring scripts

ValueCountFrequency (%)
Latin2233230
100.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
a210145
 
9.4%
r204344
 
9.2%
o193818
 
8.7%
e177884
 
8.0%
n161853
 
7.2%
l139960
 
6.3%
i133682
 
6.0%
t108951
 
4.9%
d66170
 
3.0%
s64574
 
2.9%
Other values (30)771849
34.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII2233230
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
a210145
 
9.4%
r204344
 
9.2%
o193818
 
8.7%
e177884
 
8.0%
n161853
 
7.2%
l139960
 
6.3%
i133682
 
6.0%
t108951
 
4.9%
d66170
 
3.0%
s64574
 
2.9%
Other values (30)771849
34.6%

mintemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct388
Distinct (%)0.2%
Missing1328
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean12.49145958
Minimum-8.5
Maximum33.9
Zeros217
Zeros (%)0.1%
Negative5199
Negative (%)2.0%
Memory size3.9 MiB
2021-05-12T15:44:08.700199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-8.5
5-th percentile2.3
Q17.9
median12.2
Q317.1
95-th percentile23.5
Maximum33.9
Range42.4
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation6.388826057
Coefficient of variation (CV)0.511455528
Kurtosis-0.486826874
Mean12.49145958
Median Absolute Deviation (MAD)4.6
Skewness0.05317803122
Sum3177415.1
Variance40.81709838
MonotonicityNot monotonic
2021-05-12T15:44:08.833186image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.61712
 
0.7%
91708
 
0.7%
10.21674
 
0.7%
10.81604
 
0.6%
111593
 
0.6%
10.51581
 
0.6%
8.91579
 
0.6%
10.41576
 
0.6%
131571
 
0.6%
11.51570
 
0.6%
Other values (378)238199
93.2%
ValueCountFrequency (%)
-8.51
 
< 0.1%
-8.22
 
< 0.1%
-82
 
< 0.1%
-7.82
 
< 0.1%
-7.62
 
< 0.1%
-7.53
 
< 0.1%
-7.32
 
< 0.1%
-7.24
 
< 0.1%
-7.11
 
< 0.1%
-712
< 0.1%
ValueCountFrequency (%)
33.91
 
< 0.1%
31.91
 
< 0.1%
31.81
 
< 0.1%
31.44
< 0.1%
31.21
 
< 0.1%
311
 
< 0.1%
30.71
 
< 0.1%
30.51
 
< 0.1%
30.31
 
< 0.1%
29.91
 
< 0.1%

maxtemp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct505
Distinct (%)0.2%
Missing598
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean22.41412835
Minimum-4.8
Maximum48.1
Zeros48
Zeros (%)< 0.1%
Negative310
Negative (%)0.1%
Memory size3.9 MiB
2021-05-12T15:44:08.966172image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-4.8
5-th percentile12.3
Q117.1
median21.7
Q327.3
95-th percentile34.7
Maximum48.1
Range52.9
Interquartile range (IQR)10.2

Descriptive statistics

Standard deviation7.123202812
Coefficient of variation (CV)0.3177996798
Kurtosis-0.157413935
Mean22.41412835
Median Absolute Deviation (MAD)5
Skewness0.2536685352
Sum5717776.9
Variance50.74001831
MonotonicityNot monotonic
2021-05-12T15:44:09.113160image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19.81577
 
0.6%
201566
 
0.6%
191535
 
0.6%
18.51515
 
0.6%
20.21509
 
0.6%
18.21507
 
0.6%
17.21501
 
0.6%
181493
 
0.6%
19.41490
 
0.6%
211483
 
0.6%
Other values (495)239921
93.8%
ValueCountFrequency (%)
-4.82
 
< 0.1%
-4.12
 
< 0.1%
-3.86
 
< 0.1%
-3.71
 
< 0.1%
-3.21
 
< 0.1%
-3.17
< 0.1%
-316
< 0.1%
-2.93
 
< 0.1%
-2.72
 
< 0.1%
-2.510
< 0.1%
ValueCountFrequency (%)
48.11
 
< 0.1%
47.33
 
< 0.1%
472
 
< 0.1%
46.92
 
< 0.1%
46.87
< 0.1%
46.72
 
< 0.1%
46.62
 
< 0.1%
46.51
 
< 0.1%
46.48
< 0.1%
46.33
 
< 0.1%

rainfall
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct676
Distinct (%)0.3%
Missing3579
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean3.655982564
Minimum0
Maximum371
Zeros137928
Zeros (%)53.9%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:09.256777image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q32.2
95-th percentile19
Maximum371
Range371
Interquartile range (IQR)2.2

Descriptive statistics

Standard deviation10.98980123
Coefficient of variation (CV)3.005977473
Kurtosis125.2008666
Mean3.655982564
Median Absolute Deviation (MAD)0
Skewness8.277615048
Sum921731.7
Variance120.775731
MonotonicityNot monotonic
2021-05-12T15:44:09.391828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0137928
53.9%
0.215416
 
6.0%
0.47376
 
2.9%
0.65011
 
2.0%
0.84163
 
1.6%
13496
 
1.4%
1.23214
 
1.3%
1.42846
 
1.1%
1.62520
 
1.0%
1.82327
 
0.9%
Other values (666)67819
26.5%
(Missing)3579
 
1.4%
ValueCountFrequency (%)
0137928
53.9%
0.1286
 
0.1%
0.215416
 
6.0%
0.3112
 
< 0.1%
0.47376
 
2.9%
0.581
 
< 0.1%
0.65011
 
2.0%
0.724
 
< 0.1%
0.84163
 
1.6%
0.931
 
< 0.1%
ValueCountFrequency (%)
3713
 
< 0.1%
367.66
< 0.1%
278.41
 
< 0.1%
268.64
< 0.1%
247.25
< 0.1%
2401
 
< 0.1%
236.83
 
< 0.1%
2259
< 0.1%
219.62
 
< 0.1%
216.32
 
< 0.1%

evaporation
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct356
Distinct (%)0.3%
Missing116865
Missing (%)45.7%
Infinite0
Infinite (%)0.0%
Mean5.159351005
Minimum0
Maximum145
Zeros544
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:09.530115image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.8
Q12.4
median4.4
Q37
95-th percentile11.8
Maximum145
Range145
Interquartile range (IQR)4.6

Descriptive statistics

Standard deviation4.064683798
Coefficient of variation (CV)0.7878285067
Kurtosis52.06321828
Mean5.159351005
Median Absolute Deviation (MAD)2.2
Skewness3.964218001
Sum716272.7
Variance16.52165438
MonotonicityNot monotonic
2021-05-12T15:44:09.659219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
45540
 
2.2%
83936
 
1.5%
2.23843
 
1.5%
23775
 
1.5%
33756
 
1.5%
2.63670
 
1.4%
2.83618
 
1.4%
1.63590
 
1.4%
2.43570
 
1.4%
3.43551
 
1.4%
Other values (346)99981
39.1%
(Missing)116865
45.7%
ValueCountFrequency (%)
0544
 
0.2%
0.113
 
< 0.1%
0.2951
 
0.4%
0.351
 
< 0.1%
0.41491
0.6%
0.525
 
< 0.1%
0.62119
0.8%
0.735
 
< 0.1%
0.82449
1.0%
0.960
 
< 0.1%
ValueCountFrequency (%)
1452
 
< 0.1%
86.22
 
< 0.1%
82.41
 
< 0.1%
81.21
 
< 0.1%
77.31
 
< 0.1%
74.810
< 0.1%
72.21
 
< 0.1%
70.41
 
< 0.1%
701
 
< 0.1%
68.82
 
< 0.1%

sunshine
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct145
Distinct (%)0.1%
Missing130048
Missing (%)50.9%
Infinite0
Infinite (%)0.0%
Mean6.485748167
Minimum0
Maximum14.5
Zeros7081
Zeros (%)2.8%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:09.797639image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q13.1
median6.8
Q39.8
95-th percentile12.4
Maximum14.5
Range14.5
Interquartile range (IQR)6.7

Descriptive statistics

Standard deviation3.932260219
Coefficient of variation (CV)0.6062924612
Kurtosis-1.154044548
Mean6.485748167
Median Absolute Deviation (MAD)3.3
Skewness-0.1412552251
Sum814914.8
Variance15.46267043
MonotonicityNot monotonic
2021-05-12T15:44:09.928216image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
07081
 
2.8%
0.11446
 
0.6%
9.21323
 
0.5%
0.21310
 
0.5%
9.81301
 
0.5%
10.71289
 
0.5%
10.81275
 
0.5%
101275
 
0.5%
10.31265
 
0.5%
111259
 
0.5%
Other values (135)106823
41.8%
(Missing)130048
50.9%
ValueCountFrequency (%)
07081
2.8%
0.11446
 
0.6%
0.21310
 
0.5%
0.31031
 
0.4%
0.4820
 
0.3%
0.5939
 
0.4%
0.6723
 
0.3%
0.7856
 
0.3%
0.8804
 
0.3%
0.9791
 
0.3%
ValueCountFrequency (%)
14.51
 
< 0.1%
14.34
 
< 0.1%
14.22
 
< 0.1%
14.17
 
< 0.1%
1416
 
< 0.1%
13.929
 
< 0.1%
13.862
 
< 0.1%
13.7120
< 0.1%
13.6184
0.1%
13.5212
0.1%

humidity9am
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)< 0.1%
Missing3592
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean72.27943341
Minimum0
Maximum100
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:10.073256image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile38
Q161
median74
Q387
95-th percentile99
Maximum100
Range100
Interquartile range (IQR)26

Descriptive statistics

Standard deviation18.52069664
Coefficient of variation (CV)0.2562374352
Kurtosis0.091922427
Mean72.27943341
Median Absolute Deviation (MAD)13
Skewness-0.6203641946
Sum18221862
Variance343.0162039
MonotonicityNot monotonic
2021-05-12T15:44:10.211217image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
997015
 
2.7%
1006275
 
2.5%
755311
 
2.1%
705282
 
2.1%
745261
 
2.1%
765153
 
2.0%
815088
 
2.0%
715085
 
2.0%
734986
 
1.9%
724975
 
1.9%
Other values (91)197672
77.3%
ValueCountFrequency (%)
01
 
< 0.1%
15
 
< 0.1%
28
 
< 0.1%
310
 
< 0.1%
422
 
< 0.1%
529
 
< 0.1%
643
< 0.1%
747
< 0.1%
860
< 0.1%
977
< 0.1%
ValueCountFrequency (%)
1006275
2.5%
997015
2.7%
984807
1.9%
974237
1.7%
964183
1.6%
953934
1.5%
944295
1.7%
934541
1.8%
924194
1.6%
914334
1.7%

humidity3pm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct101
Distinct (%)< 0.1%
Missing8458
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean57.78709497
Minimum0
Maximum100
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:10.347230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q143
median59
Q373
95-th percentile93
Maximum100
Range100
Interquartile range (IQR)30

Descriptive statistics

Standard deviation21.79683677
Coefficient of variation (CV)0.3771921184
Kurtosis-0.6369338247
Mean57.78709497
Median Absolute Deviation (MAD)15
Skewness-0.1472950666
Sum14287108
Variance475.1020932
MonotonicityNot monotonic
2021-05-12T15:44:10.482997image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
634589
 
1.8%
614572
 
1.8%
594550
 
1.8%
574537
 
1.8%
604453
 
1.7%
664426
 
1.7%
644425
 
1.7%
554400
 
1.7%
564368
 
1.7%
584336
 
1.7%
Other values (91)202581
79.2%
(Missing)8458
 
3.3%
ValueCountFrequency (%)
04
 
< 0.1%
129
 
< 0.1%
235
 
< 0.1%
367
 
< 0.1%
4125
 
< 0.1%
5172
 
0.1%
6264
0.1%
7334
0.1%
8474
0.2%
9553
0.2%
ValueCountFrequency (%)
1001623
0.6%
991491
0.6%
982051
0.8%
971359
0.5%
961686
0.7%
951612
0.6%
941873
0.7%
932116
0.8%
922436
1.0%
912238
0.9%

pressure9am
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct545
Distinct (%)0.2%
Missing25366
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1016.467528
Minimum980.5
Maximum1041
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:10.610226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum980.5
5-th percentile1004.5
Q11011.7
median1016.5
Q31021.4
95-th percentile1028.6
Maximum1041
Range60.5
Interquartile range (IQR)9.7

Descriptive statistics

Standard deviation7.384540592
Coefficient of variation (CV)0.007264905555
Kurtosis0.3119896238
Mean1016.467528
Median Absolute Deviation (MAD)4.9
Skewness-0.1505793861
Sum234121949.3
Variance54.53143976
MonotonicityNot monotonic
2021-05-12T15:44:10.744187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1016.41417
 
0.6%
1016.91369
 
0.5%
1017.31361
 
0.5%
1015.91354
 
0.5%
1014.21334
 
0.5%
1017.51319
 
0.5%
1017.21313
 
0.5%
1016.31309
 
0.5%
1015.51300
 
0.5%
1016.21285
 
0.5%
Other values (535)216968
84.9%
(Missing)25366
 
9.9%
ValueCountFrequency (%)
980.56
< 0.1%
982.22
 
< 0.1%
982.36
< 0.1%
982.97
< 0.1%
983.72
 
< 0.1%
983.912
< 0.1%
984.48
< 0.1%
984.69
< 0.1%
9852
 
< 0.1%
985.18
< 0.1%
ValueCountFrequency (%)
10411
 
< 0.1%
1040.91
 
< 0.1%
1040.62
< 0.1%
1040.51
 
< 0.1%
1040.43
< 0.1%
1040.34
< 0.1%
1040.22
< 0.1%
1040.14
< 0.1%
10401
 
< 0.1%
1039.94
< 0.1%

pressure3pm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct548
Distinct (%)0.2%
Missing25395
Missing (%)9.9%
Infinite0
Infinite (%)0.0%
Mean1014.170848
Minimum977.1
Maximum1039.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:10.883777image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum977.1
5-th percentile1002.5
Q11009.2
median1014.1
Q31019.1
95-th percentile1026.3
Maximum1039.6
Range62.5
Interquartile range (IQR)9.9

Descriptive statistics

Standard deviation7.316956726
Coefficient of variation (CV)0.00721471805
Kurtosis0.2482329812
Mean1014.170848
Median Absolute Deviation (MAD)4.9
Skewness-0.1000947419
Sum233563546.4
Variance53.53785573
MonotonicityNot monotonic
2021-05-12T15:44:11.020677image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1010.41357
 
0.5%
1015.51353
 
0.5%
1013.21344
 
0.5%
1015.11324
 
0.5%
10161322
 
0.5%
1013.71314
 
0.5%
1012.21311
 
0.5%
1013.81308
 
0.5%
1015.61307
 
0.5%
1013.51304
 
0.5%
Other values (538)217056
84.9%
(Missing)25395
 
9.9%
ValueCountFrequency (%)
977.112
< 0.1%
978.212
< 0.1%
9796
< 0.1%
980.211
< 0.1%
981.25
< 0.1%
981.44
 
< 0.1%
981.96
< 0.1%
982.25
< 0.1%
982.612
< 0.1%
982.92
 
< 0.1%
ValueCountFrequency (%)
1039.61
 
< 0.1%
1038.91
 
< 0.1%
1038.51
 
< 0.1%
1038.41
 
< 0.1%
1038.21
 
< 0.1%
10381
 
< 0.1%
1037.92
< 0.1%
1037.82
< 0.1%
1037.73
< 0.1%
1037.61
 
< 0.1%

cloud9am
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing95746
Missing (%)37.4%
Infinite0
Infinite (%)0.0%
Mean5.105277307
Minimum0
Maximum9
Zeros10063
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:11.143233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q37
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.777110996
Coefficient of variation (CV)0.5439686875
Kurtosis-1.200841801
Mean5.105277307
Median Absolute Deviation (MAD)2
Skewness-0.5853023754
Sum816584
Variance7.712345484
MonotonicityNot monotonic
2021-05-12T15:44:11.233688image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
739922
15.6%
837445
 
14.6%
121214
 
8.3%
615132
 
5.9%
010063
 
3.9%
29754
 
3.8%
59699
 
3.8%
39329
 
3.6%
47389
 
2.9%
92
 
< 0.1%
(Missing)95746
37.4%
ValueCountFrequency (%)
010063
 
3.9%
121214
8.3%
29754
 
3.8%
39329
 
3.6%
47389
 
2.9%
59699
 
3.8%
615132
 
5.9%
739922
15.6%
837445
14.6%
92
 
< 0.1%
ValueCountFrequency (%)
92
 
< 0.1%
837445
14.6%
739922
15.6%
615132
 
5.9%
59699
 
3.8%
47389
 
2.9%
39329
 
3.6%
29754
 
3.8%
121214
8.3%
010063
 
3.9%

cloud3pm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING
ZEROS

Distinct10
Distinct (%)< 0.1%
Missing102460
Missing (%)40.1%
Infinite0
Infinite (%)0.0%
Mean5.245068033
Minimum0
Maximum9
Zeros5393
Zeros (%)2.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:11.330910image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q37
95-th percentile8
Maximum9
Range9
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.623532713
Coefficient of variation (CV)0.5001904068
Kurtosis-1.067437737
Mean5.245068033
Median Absolute Deviation (MAD)2
Skewness-0.6288628789
Sum803728
Variance6.882923895
MonotonicityNot monotonic
2021-05-12T15:44:11.412239image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
738016
 
14.9%
835596
 
13.9%
118993
 
7.4%
615733
 
6.2%
511103
 
4.3%
310057
 
3.9%
29805
 
3.8%
48538
 
3.3%
05393
 
2.1%
91
 
< 0.1%
(Missing)102460
40.1%
ValueCountFrequency (%)
05393
 
2.1%
118993
7.4%
29805
 
3.8%
310057
 
3.9%
48538
 
3.3%
511103
 
4.3%
615733
6.2%
738016
14.9%
835596
13.9%
91
 
< 0.1%
ValueCountFrequency (%)
91
 
< 0.1%
835596
13.9%
738016
14.9%
615733
6.2%
511103
 
4.3%
48538
 
3.3%
310057
 
3.9%
29805
 
3.8%
118993
7.4%
05393
 
2.1%

temp9am
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct440
Distinct (%)0.2%
Missing1791
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean16.81625142
Minimum-7.2
Maximum40.2
Zeros60
Zeros (%)< 0.1%
Negative847
Negative (%)0.3%
Memory size3.9 MiB
2021-05-12T15:44:11.523237image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-7.2
5-th percentile7
Q112.1
median16.4
Q321.3
95-th percentile28.2
Maximum40.2
Range47.4
Interquartile range (IQR)9.2

Descriptive statistics

Standard deviation6.456758955
Coefficient of variation (CV)0.3839594684
Kurtosis-0.3424201755
Mean16.81625142
Median Absolute Deviation (MAD)4.6
Skewness0.1354009843
Sum4269713.5
Variance41.68973621
MonotonicityNot monotonic
2021-05-12T15:44:11.654861image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13.81696
 
0.7%
14.81637
 
0.6%
15.81620
 
0.6%
171610
 
0.6%
13.21602
 
0.6%
151595
 
0.6%
13.41593
 
0.6%
14.41592
 
0.6%
13.51587
 
0.6%
141570
 
0.6%
Other values (430)237802
93.0%
(Missing)1791
 
0.7%
ValueCountFrequency (%)
-7.22
 
< 0.1%
-72
 
< 0.1%
-6.21
 
< 0.1%
-5.91
 
< 0.1%
-5.63
 
< 0.1%
-5.52
 
< 0.1%
-5.32
 
< 0.1%
-5.215
< 0.1%
-4.82
 
< 0.1%
-4.515
< 0.1%
ValueCountFrequency (%)
40.21
< 0.1%
39.41
< 0.1%
39.11
< 0.1%
391
< 0.1%
38.91
< 0.1%
38.61
< 0.1%
38.31
< 0.1%
38.21
< 0.1%
381
< 0.1%
37.91
< 0.1%

temp3pm
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct500
Distinct (%)0.2%
Missing6763
Missing (%)2.6%
Infinite0
Infinite (%)0.0%
Mean20.73063447
Minimum-5.4
Maximum46.7
Zeros37
Zeros (%)< 0.1%
Negative480
Negative (%)0.2%
Memory size3.9 MiB
2021-05-12T15:44:11.780080image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-5.4
5-th percentile10.8
Q115.6
median20.1
Q325.4
95-th percentile32.8
Maximum46.7
Range52.1
Interquartile range (IQR)9.8

Descriptive statistics

Standard deviation6.944861589
Coefficient of variation (CV)0.3350047775
Kurtosis-0.07081592895
Mean20.73063447
Median Absolute Deviation (MAD)4.8
Skewness0.2715441371
Sum5160518.3
Variance48.23110249
MonotonicityNot monotonic
2021-05-12T15:44:11.905229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18.51619
 
0.6%
171586
 
0.6%
181535
 
0.6%
19.31504
 
0.6%
18.61504
 
0.6%
17.41489
 
0.6%
191483
 
0.6%
201480
 
0.6%
17.11476
 
0.6%
17.81473
 
0.6%
Other values (490)233783
91.4%
(Missing)6763
 
2.6%
ValueCountFrequency (%)
-5.42
 
< 0.1%
-5.11
 
< 0.1%
-4.42
 
< 0.1%
-4.216
< 0.1%
-4.11
 
< 0.1%
-42
 
< 0.1%
-3.97
< 0.1%
-3.810
< 0.1%
-3.78
< 0.1%
-3.514
< 0.1%
ValueCountFrequency (%)
46.72
 
< 0.1%
46.22
 
< 0.1%
46.16
< 0.1%
45.91
 
< 0.1%
45.82
 
< 0.1%
45.41
 
< 0.1%
45.32
 
< 0.1%
45.23
< 0.1%
452
 
< 0.1%
44.94
< 0.1%

raintoday
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct2
Distinct (%)< 0.1%
Missing3579
Missing (%)1.4%
Memory size16.5 MiB
0.0
173924 
1.0
78192 

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters756348
Distinct characters3
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0.0
2nd row0.0
3rd row0.0
4th row0.0
5th row0.0

Common Values

ValueCountFrequency (%)
0.0173924
68.0%
1.078192
30.6%
(Missing)3579
 
1.4%

Length

2021-05-12T15:44:12.102161image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-05-12T15:44:12.165692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
0.0173924
69.0%
1.078192
31.0%

Most occurring characters

ValueCountFrequency (%)
0426040
56.3%
.252116
33.3%
178192
 
10.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number504232
66.7%
Other Punctuation252116
33.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0426040
84.5%
178192
 
15.5%
Other Punctuation
ValueCountFrequency (%)
.252116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common756348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0426040
56.3%
.252116
33.3%
178192
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII756348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0426040
56.3%
.252116
33.3%
178192
 
10.3%

amntraintmrw
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct674
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.149754982
Minimum0
Maximum371
Zeros115586
Zeros (%)45.2%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:12.244773image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.2
Q35.2
95-th percentile23.2
Maximum371
Range371
Interquartile range (IQR)5.2

Descriptive statistics

Standard deviation11.94598562
Coefficient of variation (CV)2.319719223
Kurtosis88.8055496
Mean5.149754982
Median Absolute Deviation (MAD)1.2
Skewness6.846305265
Sum1316766.6
Variance142.7065726
MonotonicityNot monotonic
2021-05-12T15:44:12.376204image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0115586
45.2%
1.26184
 
2.4%
1.45475
 
2.1%
1.64764
 
1.9%
1.84480
 
1.8%
0.44350
 
1.7%
24073
 
1.6%
2.23929
 
1.5%
2.43469
 
1.4%
2.63413
 
1.3%
Other values (664)99972
39.1%
ValueCountFrequency (%)
0115586
45.2%
0.44350
 
1.7%
0.551
 
< 0.1%
0.62955
 
1.2%
0.716
 
< 0.1%
0.82345
 
0.9%
0.919
 
< 0.1%
12016
 
0.8%
1.155
 
< 0.1%
1.26184
 
2.4%
ValueCountFrequency (%)
3715
< 0.1%
367.64
< 0.1%
278.42
 
< 0.1%
268.63
< 0.1%
247.22
 
< 0.1%
2402
 
< 0.1%
236.84
< 0.1%
2254
< 0.1%
219.66
< 0.1%
216.32
 
< 0.1%

raintomorrow
Categorical

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size16.1 MiB
1
128357 
0
127338 

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters255695
Distinct characters2
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

Length

2021-05-12T15:44:12.591212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram of lengths of the category

Pie chart

2021-05-12T15:44:12.650747image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

Most occurring characters

ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number255695
100.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

Most occurring scripts

ValueCountFrequency (%)
Common255695
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII255695
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1128357
50.2%
0127338
49.8%

temp
Real number (ℝ)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct7563
Distinct (%)3.0%
Missing598
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean27.60186586
Minimum-3.76
Maximum59.72
Zeros0
Zeros (%)0.0%
Negative109
Negative (%)< 0.1%
Memory size3.9 MiB
2021-05-12T15:44:12.732879image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-3.76
5-th percentile3.39497119
Q121.68
median27.44
Q334.4
95-th percentile43.4
Maximum59.72
Range63.48
Interquartile range (IQR)12.72

Descriptive statistics

Standard deviation10.09915794
Coefficient of variation (CV)0.3658867843
Kurtosis0.3983405585
Mean27.60186586
Median Absolute Deviation (MAD)6.36
Skewness-0.3419917629
Sum7041153.175
Variance101.9929911
MonotonicityNot monotonic
2021-05-12T15:44:12.856769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25.761524
 
0.6%
261515
 
0.6%
24.81472
 
0.6%
24.21453
 
0.6%
26.241438
 
0.6%
23.841434
 
0.6%
23.61434
 
0.6%
22.641421
 
0.6%
27.21416
 
0.6%
22.881416
 
0.6%
Other values (7553)240574
94.1%
ValueCountFrequency (%)
-3.762
 
< 0.1%
-2.922
 
< 0.1%
-2.566
 
< 0.1%
-1.841
 
< 0.1%
-1.727
< 0.1%
-1.616
< 0.1%
-1.483
 
< 0.1%
-1.242
 
< 0.1%
-110
< 0.1%
-0.882
 
< 0.1%
ValueCountFrequency (%)
59.721
 
< 0.1%
58.763
 
< 0.1%
58.42
 
< 0.1%
58.282
 
< 0.1%
58.167
< 0.1%
58.041
 
< 0.1%
57.922
 
< 0.1%
57.81
 
< 0.1%
57.688
< 0.1%
57.563
 
< 0.1%

humidity
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct4142
Distinct (%)1.7%
Missing8458
Missing (%)3.3%
Infinite0
Infinite (%)0.0%
Mean69.32106575
Minimum2
Maximum122
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:12.989819image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile18.8
Q151.2
median71.6
Q389.6
95-th percentile113.6
Maximum122
Range120
Interquartile range (IQR)38.4

Descriptive statistics

Standard deviation28.22577135
Coefficient of variation (CV)0.4071745153
Kurtosis-0.4168617991
Mean69.32106575
Median Absolute Deviation (MAD)19.2
Skewness-0.3178231553
Sum17138732.33
Variance796.6941683
MonotonicityNot monotonic
2021-05-12T15:44:13.121185image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75.24455
 
1.7%
77.64454
 
1.7%
70.44418
 
1.7%
72.84408
 
1.7%
78.84307
 
1.7%
684302
 
1.7%
744299
 
1.7%
81.24275
 
1.7%
69.24226
 
1.7%
71.64224
 
1.7%
Other values (4132)203869
79.7%
(Missing)8458
 
3.3%
ValueCountFrequency (%)
24
< 0.1%
2.000285661
 
< 0.1%
2.0005134141
 
< 0.1%
2.0010653111
 
< 0.1%
2.0011859811
 
< 0.1%
2.0014173711
 
< 0.1%
2.0015754412
< 0.1%
2.0015883982
< 0.1%
2.0016116281
 
< 0.1%
2.0017873771
 
< 0.1%
ValueCountFrequency (%)
1221588
0.6%
120.81439
0.6%
119.61959
0.8%
118.41345
0.5%
117.21613
0.6%
1161554
0.6%
114.81797
0.7%
113.62077
0.8%
112.42364
0.9%
111.22156
0.8%

precipitation3pm
Real number (ℝ≥0)

Distinct27
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.01480279
Minimum0
Maximum26
Zeros17
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:13.232692image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q18
median10
Q312
95-th percentile15
Maximum26
Range26
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.172914911
Coefficient of variation (CV)0.3168225053
Kurtosis0.07747704619
Mean10.01480279
Median Absolute Deviation (MAD)2
Skewness0.3188605794
Sum2560735
Variance10.06738903
MonotonicityNot monotonic
2021-05-12T15:44:13.340579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
931878
12.5%
1031359
12.3%
1128898
11.3%
828717
11.2%
1224406
9.5%
723164
9.1%
1318866
7.4%
616406
6.4%
1413203
5.2%
59503
 
3.7%
Other values (17)29295
11.5%
ValueCountFrequency (%)
017
 
< 0.1%
1106
 
< 0.1%
2533
 
0.2%
31941
 
0.8%
44802
 
1.9%
59503
 
3.7%
616406
6.4%
723164
9.1%
828717
11.2%
931878
12.5%
ValueCountFrequency (%)
264
 
< 0.1%
259
 
< 0.1%
2414
 
< 0.1%
2350
 
< 0.1%
22106
 
< 0.1%
21242
 
0.1%
20522
 
0.2%
19892
 
0.3%
181853
0.7%
173247
1.3%

precipitation9am
Real number (ℝ)

Distinct141207
Distinct (%)55.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.97583046
Minimum-17.73934574
Maximum32.47858981
Zeros0
Zeros (%)0.0%
Negative5862
Negative (%)2.3%
Memory size3.9 MiB
2021-05-12T15:44:13.455734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum-17.73934574
5-th percentile1.7537679
Q16.612404645
median9.964144177
Q313.36631715
95-th percentile18.20884195
Maximum32.47858981
Range50.21793555
Interquartile range (IQR)6.753912503

Descriptive statistics

Standard deviation5.001302069
Coefficient of variation (CV)0.5013419273
Kurtosis-0.01615137133
Mean9.97583046
Median Absolute Deviation (MAD)3.377852479
Skewness0.002399958913
Sum2550769.969
Variance25.01302239
MonotonicityNot monotonic
2021-05-12T15:44:13.590078image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9.86217048326
 
< 0.1%
8.81417055826
 
< 0.1%
14.125064324
 
< 0.1%
15.7838296322
 
< 0.1%
9.66775763722
 
< 0.1%
6.76815872922
 
< 0.1%
15.0743391420
 
< 0.1%
10.1861562120
 
< 0.1%
11.480820820
 
< 0.1%
11.281530520
 
< 0.1%
Other values (141197)255473
99.9%
ValueCountFrequency (%)
-17.739345741
 
< 0.1%
-11.035403711
 
< 0.1%
-11.023931311
 
< 0.1%
-10.698081062
< 0.1%
-10.302856512
< 0.1%
-9.9785583611
 
< 0.1%
-9.8610731481
 
< 0.1%
-9.7010815514
< 0.1%
-9.506687341
 
< 0.1%
-9.3890278942
< 0.1%
ValueCountFrequency (%)
32.478589812
 
< 0.1%
32.21008071
 
< 0.1%
30.355796971
 
< 0.1%
30.243844882
 
< 0.1%
30.174273091
 
< 0.1%
28.893262454
 
< 0.1%
28.781074451
 
< 0.1%
28.656045181
 
< 0.1%
28.6145920110
< 0.1%
28.172268743
 
< 0.1%

modelo_vigente
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION

Distinct129301
Distinct (%)50.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.3717107776
Minimum0
Maximum0.9994
Zeros471
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:13.723579image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.007305873016
Q10.06344166667
median0.2842832805
Q30.6616255825
95-th percentile0.9298619048
Maximum0.9994
Range0.9994
Interquartile range (IQR)0.5981839158

Descriptive statistics

Standard deviation0.321867252
Coefficient of variation (CV)0.8659077739
Kurtosis-1.274331077
Mean0.3717107776
Median Absolute Deviation (MAD)0.2538864973
Skewness0.4287902868
Sum95044.58729
Variance0.1035985279
MonotonicityNot monotonic
2021-05-12T15:44:13.849803image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0471
 
0.2%
0.00194
 
< 0.1%
0.000666666666773
 
< 0.1%
0.000469
 
< 0.1%
0.000567
 
< 0.1%
0.00263
 
< 0.1%
0.000260
 
< 0.1%
0.000222222222259
 
< 0.1%
0.000333333333357
 
< 0.1%
0.0002550
 
< 0.1%
Other values (129291)254632
99.6%
ValueCountFrequency (%)
0471
0.2%
6.600660066 × 10-63
 
< 0.1%
7.989347537 × 10-636
 
< 0.1%
1.075268817 × 10-51
 
< 0.1%
1.578947368 × 10-51
 
< 0.1%
2.435312024 × 10-512
 
< 0.1%
3.150787697 × 10-57
 
< 0.1%
3.234246778 × 10-53
 
< 0.1%
5.748190294 × 10-53
 
< 0.1%
0.00010526315791
 
< 0.1%
ValueCountFrequency (%)
0.99943
 
< 0.1%
0.99926984132
 
< 0.1%
0.99913095246
< 0.1%
0.99833333331
 
< 0.1%
0.99807301591
 
< 0.1%
0.997810
< 0.1%
0.99773888894
 
< 0.1%
0.99771666675
< 0.1%
0.99768333334
 
< 0.1%
0.99767857144
 
< 0.1%

wind_gustdir
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.425804181
Minimum0
Maximum16
Zeros14252
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2021-05-12T15:44:13.958734image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median9
Q313
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)9

Descriptive statistics

Standard deviation4.908045591
Coefficient of variation (CV)0.5825017394
Kurtosis-1.191304163
Mean8.425804181
Median Absolute Deviation (MAD)4
Skewness-0.1209025604
Sum2154436
Variance24.08891153
MonotonicityNot monotonic
2021-05-12T15:44:14.056230image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1318979
 
7.4%
317694
 
6.9%
1617592
 
6.9%
1516267
 
6.4%
715915
 
6.2%
1415863
 
6.2%
815785
 
6.2%
1115606
 
6.1%
915537
 
6.1%
1015239
 
6.0%
Other values (7)91218
35.7%
ValueCountFrequency (%)
014252
5.6%
112890
5.0%
211775
4.6%
317694
6.9%
411994
4.7%
511826
4.6%
613304
5.2%
715915
6.2%
815785
6.2%
915537
6.1%
ValueCountFrequency (%)
1617592
6.9%
1516267
6.4%
1415863
6.2%
1318979
7.4%
1215177
5.9%
1115606
6.1%
1015239
6.0%
915537
6.1%
815785
6.2%
715915
6.2%

wind_gustspeed
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct67
Distinct (%)< 0.1%
Missing17455
Missing (%)6.8%
Infinite0
Infinite (%)0.0%
Mean41.95597297
Minimum6
Maximum135
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:14.174235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile22
Q131
median39
Q350
95-th percentile70
Maximum135
Range129
Interquartile range (IQR)19

Descriptive statistics

Standard deviation14.66232153
Coefficient of variation (CV)0.3494692292
Kurtosis1.028305976
Mean41.95597297
Median Absolute Deviation (MAD)9
Skewness0.8129428671
Sum9995591
Variance214.9836727
MonotonicityNot monotonic
2021-05-12T15:44:14.307093image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3514585
 
5.7%
3914533
 
5.7%
3113343
 
5.2%
3713134
 
5.1%
3312676
 
5.0%
4112367
 
4.8%
4311227
 
4.4%
3010942
 
4.3%
2810235
 
4.0%
489699
 
3.8%
Other values (57)115499
45.2%
(Missing)17455
 
6.8%
ValueCountFrequency (%)
61
 
< 0.1%
725
 
< 0.1%
9119
 
< 0.1%
11310
 
0.1%
13877
 
0.3%
151373
 
0.5%
172226
0.9%
192661
1.0%
204123
1.6%
224416
1.7%
ValueCountFrequency (%)
1358
 
< 0.1%
1304
 
< 0.1%
1264
 
< 0.1%
1244
 
< 0.1%
1223
 
< 0.1%
1204
 
< 0.1%
11711
< 0.1%
11510
< 0.1%
11322
< 0.1%
11120
< 0.1%

wind_dir9am
Real number (ℝ≥0)

HIGH CORRELATION
ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.959248323
Minimum0
Maximum16
Zeros14215
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2021-05-12T15:44:14.418165image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q312
95-th percentile16
Maximum16
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.847444425
Coefficient of variation (CV)0.6090329424
Kurtosis-1.18424927
Mean7.959248323
Median Absolute Deviation (MAD)4
Skewness0.05258078353
Sum2035140
Variance23.49771746
MonotonicityNot monotonic
2021-05-12T15:44:14.508224image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
323572
 
9.2%
716910
 
6.6%
1616737
 
6.5%
616264
 
6.4%
1315768
 
6.2%
515300
 
6.0%
1214977
 
5.9%
1014858
 
5.8%
914813
 
5.8%
814449
 
5.7%
Other values (7)92047
36.0%
ValueCountFrequency (%)
014215
5.6%
112793
5.0%
211848
4.6%
323572
9.2%
413202
5.2%
515300
6.0%
616264
6.4%
716910
6.6%
814449
5.7%
914813
5.8%
ValueCountFrequency (%)
1616737
6.5%
1512729
5.0%
1413963
5.5%
1315768
6.2%
1214977
5.9%
1113297
5.2%
1014858
5.8%
914813
5.8%
814449
5.7%
716910
6.6%

wind_dir3pm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct17
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.120397348
Minimum0
Maximum16
Zeros13450
Zeros (%)5.3%
Negative0
Negative (%)0.0%
Memory size2.9 MiB
2021-05-12T15:44:14.606196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median8
Q312
95-th percentile15
Maximum16
Range16
Interquartile range (IQR)8

Descriptive statistics

Standard deviation4.717786062
Coefficient of variation (CV)0.5809797058
Kurtosis-1.166932945
Mean8.120397348
Median Absolute Deviation (MAD)4
Skewness-0.08410695328
Sum2076345
Variance22.25750533
MonotonicityNot monotonic
2021-05-12T15:44:14.700836image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
1318785
 
7.3%
917673
 
6.9%
317225
 
6.7%
1416928
 
6.6%
816857
 
6.6%
1516663
 
6.5%
716653
 
6.5%
1215819
 
6.2%
1015611
 
6.1%
615323
 
6.0%
Other values (7)88158
34.5%
ValueCountFrequency (%)
013450
5.3%
112703
5.0%
213581
5.3%
317225
6.7%
413871
5.4%
511899
4.7%
615323
6.0%
716653
6.5%
816857
6.6%
917673
6.9%
ValueCountFrequency (%)
168226
3.2%
1516663
6.5%
1416928
6.6%
1318785
7.3%
1215819
6.2%
1114428
5.6%
1015611
6.1%
917673
6.9%
816857
6.6%
716653
6.5%

wind_speed9am
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
ZEROS

Distinct43
Distinct (%)< 0.1%
Missing2377
Missing (%)0.9%
Infinite0
Infinite (%)0.0%
Mean14.51603518
Minimum0
Maximum130
Zeros14255
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:14.817659image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q17
median13
Q320
95-th percentile31
Maximum130
Range130
Interquartile range (IQR)13

Descriptive statistics

Standard deviation9.161870079
Coefficient of variation (CV)0.6311551305
Kurtosis1.330005246
Mean14.51603518
Median Absolute Deviation (MAD)6
Skewness0.8107405145
Sum3677173
Variance83.93986335
MonotonicityNot monotonic
2021-05-12T15:44:14.945669image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
923911
 
9.4%
1322882
 
8.9%
1120541
 
8.0%
1719222
 
7.5%
1518500
 
7.2%
718088
 
7.1%
1915608
 
6.1%
615167
 
5.9%
2014474
 
5.7%
014255
 
5.6%
Other values (33)70670
27.6%
ValueCountFrequency (%)
014255
5.6%
27681
 
3.0%
410655
4.2%
615167
5.9%
718088
7.1%
923911
9.4%
1120541
8.0%
1322882
8.9%
1518500
7.2%
1719222
7.5%
ValueCountFrequency (%)
1302
 
< 0.1%
874
 
< 0.1%
831
 
< 0.1%
745
 
< 0.1%
724
 
< 0.1%
6912
 
< 0.1%
676
 
< 0.1%
6533
< 0.1%
6317
< 0.1%
6140
< 0.1%

wind_speed3pm
Real number (ℝ≥0)

HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
HIGH CORRELATION
MISSING

Distinct44
Distinct (%)< 0.1%
Missing5965
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean19.10763224
Minimum0
Maximum87
Zeros2163
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:15.077226image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6
Q113
median19
Q324
95-th percentile35
Maximum87
Range87
Interquartile range (IQR)11

Descriptive statistics

Standard deviation9.176754029
Coefficient of variation (CV)0.4802664146
Kurtosis0.8083521744
Mean19.10763224
Median Absolute Deviation (MAD)6
Skewness0.6581861786
Sum4771749
Variance84.2128145
MonotonicityNot monotonic
2021-05-12T15:44:15.189691image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1321528
 
8.4%
1721293
 
8.3%
2020429
 
8.0%
1519618
 
7.7%
1919245
 
7.5%
1116636
 
6.5%
916336
 
6.4%
2415536
 
6.1%
2214937
 
5.8%
2812031
 
4.7%
Other values (34)72141
28.2%
ValueCountFrequency (%)
02163
 
0.8%
21779
 
0.7%
43862
 
1.5%
66594
 
2.6%
79913
3.9%
916336
6.4%
1116636
6.5%
1321528
8.4%
1519618
7.7%
1721293
8.3%
ValueCountFrequency (%)
874
 
< 0.1%
832
 
< 0.1%
781
 
< 0.1%
762
 
< 0.1%
743
 
< 0.1%
729
 
< 0.1%
6910
 
< 0.1%
671
 
< 0.1%
6531
< 0.1%
6347
< 0.1%

year
Real number (ℝ≥0)

Distinct11
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2013.237091
Minimum2007
Maximum2017
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:15.285744image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum2007
5-th percentile2009
Q12011
median2014
Q32016
95-th percentile2017
Maximum2017
Range10
Interquartile range (IQR)5

Descriptive statistics

Standard deviation2.676715468
Coefficient of variation (CV)0.001329557994
Kurtosis-1.26035325
Mean2013.237091
Median Absolute Deviation (MAD)2
Skewness-0.220638705
Sum514774658
Variance7.164805699
MonotonicityNot monotonic
2021-05-12T15:44:15.375232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
201649939
19.5%
201026428
10.3%
201526100
10.2%
201426086
10.2%
201725772
10.1%
200925349
9.9%
201324750
9.7%
201124314
9.5%
201223412
9.2%
20083422
 
1.3%
ValueCountFrequency (%)
2007123
 
< 0.1%
20083422
 
1.3%
200925349
9.9%
201026428
10.3%
201124314
9.5%
201223412
9.2%
201324750
9.7%
201426086
10.2%
201526100
10.2%
201649939
19.5%
ValueCountFrequency (%)
201725772
10.1%
201649939
19.5%
201526100
10.2%
201426086
10.2%
201324750
9.7%
201223412
9.2%
201124314
9.5%
201026428
10.3%
200925349
9.9%
20083422
 
1.3%

month
Real number (ℝ≥0)

HIGH CORRELATION

Distinct12
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.382146698
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:15.471959image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q14
median6
Q39
95-th percentile12
Maximum12
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.341763147
Coefficient of variation (CV)0.5236111461
Kurtosis-1.122759704
Mean6.382146698
Median Absolute Deviation (MAD)3
Skewness0.05219365768
Sum1631883
Variance11.16738093
MonotonicityNot monotonic
2021-05-12T15:44:15.557169image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
525108
9.8%
624670
9.6%
322986
9.0%
722336
8.7%
421790
8.5%
821703
8.5%
121227
8.3%
920333
8.0%
1019824
7.8%
1119391
7.6%
Other values (2)36327
14.2%
ValueCountFrequency (%)
121227
8.3%
217946
7.0%
322986
9.0%
421790
8.5%
525108
9.8%
624670
9.6%
722336
8.7%
821703
8.5%
920333
8.0%
1019824
7.8%
ValueCountFrequency (%)
1218381
7.2%
1119391
7.6%
1019824
7.8%
920333
8.0%
821703
8.5%
722336
8.7%
624670
9.6%
525108
9.8%
421790
8.5%
322986
9.0%

day
Real number (ℝ≥0)

Distinct31
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.77740277
Minimum1
Maximum31
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.9 MiB
2021-05-12T15:44:15.657727image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18
median16
Q323
95-th percentile29
Maximum31
Range30
Interquartile range (IQR)15

Descriptive statistics

Standard deviation8.792808531
Coefficient of variation (CV)0.5573039278
Kurtosis-1.19299484
Mean15.77740277
Median Absolute Deviation (MAD)8
Skewness-0.003334309926
Sum4034203
Variance77.31348187
MonotonicityNot monotonic
2021-05-12T15:44:15.761233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
228958
 
3.5%
218785
 
3.4%
98550
 
3.3%
198548
 
3.3%
38538
 
3.3%
248495
 
3.3%
168495
 
3.3%
238488
 
3.3%
258483
 
3.3%
138468
 
3.3%
Other values (21)169887
66.4%
ValueCountFrequency (%)
18269
3.2%
28309
3.2%
38538
3.3%
48439
3.3%
58227
3.2%
68245
3.2%
78083
3.2%
88453
3.3%
98550
3.3%
108428
3.3%
ValueCountFrequency (%)
314854
1.9%
307865
3.1%
297955
3.1%
288367
3.3%
278165
3.2%
268226
3.2%
258483
3.3%
248495
3.3%
238488
3.3%
228958
3.5%

Interactions

2021-05-12T15:41:43.955617image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.135681image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.299719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.437241image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.565889image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.740187image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:44.909253image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.075268image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.246662image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.389264image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.530261image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.697986image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:45.951278image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.106198image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.280233image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.445808image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.612873image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.777260image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:46.945386image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.113302image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.280458image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.446267image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.612570image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.780462image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:47.943764image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.101470image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.260077image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.424504image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.585453image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.749547image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:48.908002image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.046978image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.176392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.344876image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.511127image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.671316image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.833914image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:49.974890image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:50.108399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:50.272235image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:50.435277image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:50.590885image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:50.761274image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.020893image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.193363image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.361990image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.530304image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.697271image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:51.867906image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.040611image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.214501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.385399image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.554977image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.721110image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:52.885592image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.050426image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.218457image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.386671image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.548732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.701213image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:53.834556image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.017065image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.194943image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.365136image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.543959image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.699720image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:54.848444image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.023728image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.196651image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.364381image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.554940image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.735736image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:55.921525image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:56.104829image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:56.288815image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:56.476057image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:56.665357image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:56.848491image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:57.047432image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:57.362921image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:57.550711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:57.733244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:57.913297image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.097888image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.247527image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.396785image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.548494image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.693027image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.836223image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:58.990497image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.143849image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.288090image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.443917image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.586351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.715383image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:41:59.865745image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.024641image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.169285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.331710image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.483309image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.641351image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.791106image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:00.933212image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.091350image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.234606image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.373930image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.528865image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.676120image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.823392image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:01.976552image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.125549image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.276694image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.418478image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.549926image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.682460image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.825824image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:02.980732image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.125199image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.259605image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.400402image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.535285image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.673623image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:03.805420image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.092067image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.230428image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.357769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.498152image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.639501image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.785711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:04.934757image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:05.073131image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:05.208122image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:42:05.343808image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
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2021-05-12T15:43:53.605244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:53.782769image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:53.950228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.129195image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.282245image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.433135image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.608202image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.777924image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:54.949790image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:55.136183image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:55.313975image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:55.502856image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:55.683239image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:55.862523image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.042680image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.221521image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.408771image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.589864image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.772244image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:56.953358image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:57.127711image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:57.303243image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:57.486498image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:57.666649image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:57.842673image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.016960image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.171167image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.311220image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.505828image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.685232image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:58.859936image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.035781image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.198714image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.345150image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.528740image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.703678image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:43:59.873615image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.065999image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.243209image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.424132image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.608228image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.790251image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:00.970706image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:01.158652image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:01.346719image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:01.553872image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:01.761544image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:01.960193image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:02.181557image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:02.385114image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
2021-05-12T15:44:02.598964image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Correlations

2021-05-12T15:44:15.909219image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Pearson's r

The Pearson's correlation coefficient (r) is a measure of linear correlation between two variables. It's value lies between -1 and +1, -1 indicating total negative linear correlation, 0 indicating no linear correlation and 1 indicating total positive linear correlation. Furthermore, r is invariant under separate changes in location and scale of the two variables, implying that for a linear function the angle to the x-axis does not affect r.

To calculate r for two variables X and Y, one divides the covariance of X and Y by the product of their standard deviations.
2021-05-12T15:44:16.239162image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Spearman's ρ

The Spearman's rank correlation coefficient (ρ) is a measure of monotonic correlation between two variables, and is therefore better in catching nonlinear monotonic correlations than Pearson's r. It's value lies between -1 and +1, -1 indicating total negative monotonic correlation, 0 indicating no monotonic correlation and 1 indicating total positive monotonic correlation.

To calculate ρ for two variables X and Y, one divides the covariance of the rank variables of X and Y by the product of their standard deviations.
2021-05-12T15:44:16.562762image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Kendall's τ

Similarly to Spearman's rank correlation coefficient, the Kendall rank correlation coefficient (τ) measures ordinal association between two variables. It's value lies between -1 and +1, -1 indicating total negative correlation, 0 indicating no correlation and 1 indicating total positive correlation.

To calculate τ for two variables X and Y, one determines the number of concordant and discordant pairs of observations. τ is given by the number of concordant pairs minus the discordant pairs divided by the total number of pairs.
2021-05-12T15:44:17.578225image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Phik (φk)

Phik (φk) is a new and practical correlation coefficient that works consistently between categorical, ordinal and interval variables, captures non-linear dependency and reverts to the Pearson correlation coefficient in case of a bivariate normal input distribution. There is extensive documentation available here.
2021-05-12T15:44:17.845196image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/

Cramér's V (φc)

Cramér's V is an association measure for nominal random variables. The coefficient ranges from 0 to 1, with 0 indicating independence and 1 indicating perfect association. The empirical estimators used for Cramér's V have been proved to be biased, even for large samples. We use a bias-corrected measure that has been proposed by Bergsma in 2013 that can be found here.

Missing values

2021-05-12T15:44:02.926229image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
A simple visualization of nullity by column.
2021-05-12T15:44:04.487713image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.
2021-05-12T15:44:06.716679image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.
2021-05-12T15:44:07.515153image/svg+xmlMatplotlib v3.4.2, https://matplotlib.org/
The dendrogram allows you to more fully correlate variable completion, revealing trends deeper than the pairwise ones visible in the correlation heatmap.

Sample

First rows

locationmintempmaxtemprainfallevaporationsunshinehumidity9amhumidity3pmpressure9ampressure3pmcloud9amcloud3pmtemp9amtemp3pmraintodayamntraintmrwraintomorrowtemphumidityprecipitation3pmprecipitation9ammodelo_vigentewind_gustdirwind_gustspeedwind_dir9amwind_dir3pmwind_speed9amwind_speed3pmyearmonthday
0Albury13.422.90.6NaNNaN71.022.01007.71007.18.0NaN16.921.80.00.0029.4828.400000125.1153600.0898251344.0131420.024.02008121
1Albury7.425.10.0NaNNaN44.025.01010.61007.8NaNNaN17.224.30.00.0032.122.2085691021.4971000.0234771444.06154.022.02008122
2Albury12.925.70.0NaNNaN38.030.01007.61008.7NaN2.021.023.20.00.0032.8438.0000001720.7828590.0275801546.0131519.026.02008123
3Albury9.228.00.0NaNNaN45.016.01017.61012.8NaNNaN18.126.50.01.0035.6021.200000812.0286460.023962424.09011.09.02008124
4Albury17.532.31.0NaNNaN82.033.01010.81006.07.08.017.829.70.00.0040.7641.600000911.8835460.2201641341.0177.020.02008125
5Albury14.629.70.2NaNNaN55.023.01009.21005.4NaNNaN20.628.90.00.0037.6429.600000817.3209940.0568831456.0131319.024.02008126
6Albury14.325.00.0NaNNaN49.019.01009.61008.21.0NaN18.124.60.00.0032.0024.800000819.7912710.0300041350.0121320.024.02008127
7Albury7.726.70.0NaNNaN48.019.01013.41010.1NaNNaN16.325.50.00.0034.0424.80000077.2070850.0230001335.010136.017.02008128
8Albury13.130.11.4NaNNaN58.027.01007.01005.7NaNNaN20.128.21.00.0038.1234.40000078.2598330.0649451328.081015.011.020081210
9Albury12.621.03.6NaNNaN65.043.01001.21001.8NaN7.015.819.81.00.0027.2053.600000142.9611820.1820201244.0131124.020.020081214

Last rows

locationmintempmaxtemprainfallevaporationsunshinehumidity9amhumidity3pmpressure9ampressure3pmcloud9amcloud3pmtemp9amtemp3pmraintodayamntraintmrwraintomorrowtemphumidityprecipitation3pmprecipitation9ammodelo_vigentewind_gustdirwind_gustspeedwind_dir9amwind_dir3pmwind_speed9amwind_speed3pmyearmonthday
255685Sydney9.016.60.02.60.786.062.01034.21032.6NaNNaN10.716.30.02.8121.92000076.4136.2710890.4786351043.013820.013.02011628
255686MountGinini-1.5-0.61.0NaNNaN94.095.0NaNNaNNaNNaN-1.1-1.00.012.611.280000116.0910.9872100.6397511367.0131330.026.02009713
255687Launceston8.816.214.6NaNNaN91.077.0NaNNaN8.08.013.816.01.07.8121.44000094.4810.0220110.875922370.06633.022.0201499
255688Cobar16.520.614.46.00.097.076.01021.31019.37.07.016.919.91.02.4126.72000093.2821.6816520.800521030.0457.09.02009410
255689Launceston1.111.80.4NaNNaN97.098.01020.11013.3NaNNaN4.09.50.08.8116.160000119.699.1091730.8771601413.016160.00.0201068
255690PearceRAAF9.614.811.8NaN4.385.071.01015.41015.78.08.011.412.61.05.4119.76000087.21110.1620660.5449031369.0141515.035.0201688
255691PearceRAAF9.614.811.8NaN4.385.071.01015.41015.78.08.011.412.61.05.4119.76000087.21110.1620660.5449031369.0141515.035.0201688
255692Cairns24.831.50.05.43.463.060.01008.61006.25.06.028.730.30.09.812.97590874.076.1858650.628157948.010219.028.02009318
255693Ballarat4.27.911.4NaNNaN99.093.0997.2998.98.08.04.66.81.018.4111.480000113.65-0.1695740.9504371263.061120.019.02012817
255694Richmond19.531.60.210.4NaN76.056.01016.91011.6NaNNaN22.531.10.08.2139.92000069.2105.0005760.611361654.05413.022.02009223

Duplicate rows

Most frequently occurring

locationmintempmaxtemprainfallevaporationsunshinehumidity9amhumidity3pmpressure9ampressure3pmcloud9amcloud3pmtemp9amtemp3pmraintodayamntraintmrwraintomorrowtemphumidityprecipitation3pmprecipitation9ammodelo_vigentewind_gustdirwind_gustspeedwind_dir9amwind_dir3pmwind_speed9amwind_speed3pmyearmonthday# duplicates
4850Melbourne15.316.40.27.20.855.085.01005.91007.07.08.016.310.30.09.4121.68104.0118.8141710.915316359.03626.011.0201681926
1058Brisbane23.031.90.09.612.050.042.01012.11007.93.02.028.930.90.01.2140.2852.4116.7681590.020264431.0346.013.0201721822
9416PerthAirport8.115.50.23.01.974.056.01024.81022.18.07.010.615.40.010.2120.6069.259.6677580.129928633.051411.017.0201681922
611Brisbane17.422.53.81.00.083.094.01014.11009.28.08.021.720.51.0110.6129.00114.81314.7035760.962742431.04411.07.0201661920
11426Sydney14.719.61.44.60.573.057.01020.61018.58.08.015.419.11.03.2125.5270.4167.5826490.2539721030.013219.07.02016102820
12551SydneyAirport19.324.30.46.86.777.065.01024.61022.16.02.021.423.40.019.0131.1680.01610.1861560.238167843.011924.017.020164320
461Brisbane15.121.21.21.01.484.076.01022.91018.47.07.017.421.01.048.6127.4493.2127.0683840.496235117.01524.06.020166318
491Brisbane15.720.60.03.82.177.070.01024.01021.26.06.018.819.70.01.2126.7286.078.8453620.257536222.0826.07.020166218
802Brisbane20.028.30.08.85.361.060.01013.81009.97.03.024.527.20.01.4135.9674.0911.1253810.186959022.01446.09.02016103118
5597MelbourneAirport11.516.24.45.65.467.048.0989.7988.27.07.012.414.41.01.8121.4459.61813.9271290.689501576.07320.024.0201692918